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Information
| Code | MG5802 |
| Name | Linear Programming |
| Term | 2022-2023 Academic Year |
| Term | Spring |
| Duration (T+A) | 4-0 (T-A) (17 Week) |
| ECTS | 8 ECTS |
| National Credit | 4 National Credit |
| Teaching Language | Türkçe |
| Level | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Dr. Öğr. Üyesi MERT DEMİRCİOĞLU |
| Course Instructor |
1 |
Course Goal / Objective
This course aims to be able to solve managerial problems with operation researchs techniques.
Course Content
This course starts with the fundamentals of management science and it continues what linear programming,transportation and assignment problems are and how to reach solutions of business problems by applying these techiques.
Course Precondition
None
Resources
Winston, W. L., Goldberg, J. B. (2004). Operations research: applications and algorithms (Vol. 3). Belmont: Thomson Brooks/Cole
Notes
Yöneylem Araştırması (6. Basımdan Çeviri) Hamdy A. Taha Literatür
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | To understand which problems are linear programming problems or not. |
| LO02 | To define the linear programming problems and build the model. . |
| LO03 | To solve the linear programming model and use its solutions to make comment about business applications. |
| LO04 | To distinguish between transportation and assignment problems and to solve and evaluate the solutions. |
| LO05 | To be able to use MS Excel Solver to reach solutions of quantitative decision making problems. |
| LO06 | Graphical and solve problemlem simplex solution methods. |
| LO07 | duality, sensitivity to grasp and network models |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explains the basic theoretical models for business field | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Lists and identifies the theories that will contribute to the development of scientific methods and tools used in business | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Has an understanding of the legal and ethical issues faced by the Business profession | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Explains how to interpret the findings as a result of models used in business methods. | 4 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Creates sufficient knowledge to find a solution to the problems met by business | |
| PLO06 | Bilgi - Kuramsal, Olgusal | Contributes to business by following the basic steps of the methods used in business | 4 |
| PLO07 | Bilgi - Kuramsal, Olgusal | Apply the application of business management methods. | |
| PLO08 | Bilgi - Kuramsal, Olgusal | Encourages taking responsibility, claiming the lead and working effectively in a team and / or individually. | |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Keeps track of the latest developments in the field as a recognition of the need for lifelong learning and constant renewal | |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Utilizes scientific sources in the field, collect the data, synthesizes the obtained information and presents the outcomes effectively | 5 |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Has a good command of Turkish, as well as at least one another foreign language in accordance with the requirements of academic and work life | |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Develops and implements new research methods that will contribute to the development of the business field | 3 |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Develops new guidelines for the business managers’ decision making processes by researching on sub-disciplines of the business field. | 3 |
| PLO14 | Yetkinlikler - Öğrenme Yetkinliği | Forms the basis for the decision-making process by researching on the science of business field |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Fundamentals of Management Science | Reading related topics | Öğretim Yöntemleri: Anlatım, Tartışma |
| 2 | Introduction to Linear Programming, Problems and Mathematical Formulation | Reading related topics | Öğretim Yöntemleri: Anlatım, Tartışma |
| 3 | Linear Programming examples | Reading related topics | Öğretim Yöntemleri: Anlatım, Tartışma |
| 4 | Graphical Solution of Linear Programming | Reading related topics | Öğretim Yöntemleri: Anlatım, Tartışma |
| 5 | Simplex Method | Reading related topics | Öğretim Yöntemleri: Anlatım, Tartışma |
| 6 | Simplex Solution Method Continued | Reading related topics | Öğretim Yöntemleri: Anlatım, Tartışma |
| 7 | Unusual Circumstances of Linear | Reading related topics | Öğretim Yöntemleri: Anlatım, Tartışma |
| 8 | Mid-Term Exam | Exam Preparation | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Duality and Sensivity Analysis | Reading related topics | Öğretim Yöntemleri: Anlatım, Tartışma |
| 10 | Duality and Sensivity Analysis Continued | Reading related topics | Öğretim Yöntemleri: Anlatım, Tartışma |
| 11 | Transportation Models | Reading related topics | Öğretim Yöntemleri: Anlatım, Tartışma |
| 12 | Transport Problems Solution Methods | Reading related topics | Öğretim Yöntemleri: Anlatım, Tartışma |
| 13 | Assignment and TransshipmentProblems | Reading related topics | Öğretim Yöntemleri: Anlatım, Tartışma |
| 14 | Assignment and TransshipmentProblems Continued | Reading related topics | Öğretim Yöntemleri: Anlatım, Tartışma |
| 15 | network models | Reading related topics | Öğretim Yöntemleri: Anlatım, Tartışma |
| 16 | Term Exams | Exam Preparation | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Exam Preparation | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 4 | 56 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 8 | 112 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 2 | 4 | 8 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 24 | 24 |
| Total Workload (Hour) | 212 | ||
| Total Workload / 25 (h) | 8,48 | ||
| ECTS | 8 ECTS | ||